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Rice University semiconductor researchers join DARPA-funded Texas team

Researchers from Rice University and the University of Texas have teamed up for semiconductor microsystem innovation. Photo courtesy of UT

A team led by the University of Texas at Austin and partnered with Rice University was awarded $840 million to develop “the next generation of high-performing semiconductor microsystems" for the U.S. Department of Defense.

The Defense Advanced Research Projects Agency (DARPA) selected UT’s Texas Institute for Electronics (TIE) semiconductor consortium to establish a national open access R&D and prototyping fabrication facility.

The facility hopes to enable the DOD to create higher performance, lower power, lightweight, and compact defense systems. The technology could apply to radar, satellite imaging, unmanned aerial vehicles, or other systems, and ultimately will assist with national security and global military leadership. As a member of DARPA’s Next Generation Microelectronics Manufacturing (NGMM) team, Rice’s contributions are key.

Executive vice president for research Ramamoorthy Ramesh and the Rice researchers will focus on technologies for improving computing efficiency. In a Rice press release, Ramesh notes the need to enhance “energy-efficient computing” which highlights Rice’s qualifications to contribute to the solution.

New microsystem designs will be enabled by 3D heterogeneous integration (3DHI)semi, which is a semiconductor fabrication technology that integrates diverse materials and components into microsystems via precision assembly technologies.

Kepler Computing, is a member of the NGMM team and utilizes ferroelectrics to develop energy-efficient approaches in computer memory and logic, and was co-founded by Ramesh. Other Rice researchers include:

  • Lane Martin, director of the Rice Advanced Materials Institute
  • Ashok Veeraraghavan, chair of electrical and computer engineering
  • Pulickel Ajayan, the Benjamin M. and Mary Greenwood Anderson Professor of Engineering and founding chair of the materials science and nanoengineering department
  • Kaiyuan Yang, associate professor of electrical and computer engineering
  • Guha Balakrishnan, assistant professor of electrical and computer engineering

“Given the rapid growth of machine learning AI applications, there is a pressing need to fundamentally rethink current computing methodologies to advance the next generation of microelectronics,” Ramesh says in a news release. ”Rice University boasts world-class researchers with exceptional expertise in computer and electrical engineering poised to bolster this critical federally funded initiative.”

Overall, the project represents a total investment of $1.4 billion. The $840 million award from DARPA is a return on the Texas Legislature’s $552 million investment in TIE. TIE has funded the update of two UT fabrication facilities.

“TIE is tapping into the semiconductor talent available in Texas and nationally to build an outstanding team of semiconductor technologists and executives that can create this national center of excellence in 3DHI microsystems,” S.V. Sreenivasan, TIE founder and chief technology officer and UT professor of mechanical engineering adds.

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A View From HETI

The company is known for its Orbital AI platform, which is tailored for the energy sector. Photo via solutions.kbr.com

London-based AI firm Applied Computing has announced a $20 million Series A round and a new office in Houston.

The new Bayou City office is Applied Computing’s first in the United States and part of its North American expansion. The company is known for its Orbital AI platform, which is tailored for energy operations.

The funding round was led by Houston-based KBR Inc., with participation from San Francisco-based Databricks Ventures. KBR’s investment was first announced in March.

KBR and Applied Computing have also entered into a multi-year agreement to deliver exclusive AI products for the energy sector. KBR already has integrated Orbital into its INSITE 3.0 platform for energy projects, and is also using the product for ammonia production.

Applied Computing’s Orbital platform combines physics-grounded intelligence with models across chemical engineering, time-series forecasting and language, according to the company. The system analyzes sensor readings and can recognize a facility’s equipment constraints and operator activity. The platform can also allow technicians to run simulations of how a change to a facility could affect the rest of its operations.

According to TechCrunch, Applied Computing will use the $20 million to further explore projects and deployments with the energy sector, hire engineering and research positions, and continue to expand internationally, potentially into the Middle East.

The company is also working on deals with a major U.S. stream operator, TechCrunch reports. And Applied Computing shared on LinkedIn that it plans to announce its first partnership with a major European oil company in the coming weeks.

“Yesterday we showed Orbital live in deployments at our demo day at the Energy Institute in London,” Callum Adamson, CEO and co-founder of Applied Computing, posted on LinkedIn on July 16. “Today, we're announcing the capital to scale it globally as well as the launch of our new offices in Houston and Bangalore. In the weeks following, there will be more announcements on our progress, partnerships and deployments.”

The company opened its Bangalore offices in December.

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This article originally appeared on our sister site, InnovationMap.com.

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